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The extension now works with PostgreSQL 10, while retaining compatibility with version 9.6. PostgreSQL 10 has numerous internal changes to functions and APIs, which necessitates various glue code and compatibility wrappers to seamlessly retain backwards compatiblity with older versions. Test output might also differ between versions. In particular, the psql client generates version-specific output with `\d` and EXPLAINs might differ due to new query optimizations. The test suite has been modified as follows to handle these issues. First, tests now use version-independent functions to query system catalogs instead of using `\d`. Second, changes have been made to the test suite to be able to verify some test outputs against version-dependent reference files.
72 lines
2.9 KiB
SQL
72 lines
2.9 KiB
SQL
\ir include/insert_two_partitions.sql
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SELECT * FROM test.show_columnsp('_timescaledb_internal.%');
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SELECT * FROM test.show_indexesp('_timescaledb_internal.%');
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SELECT * FROM _timescaledb_catalog.chunk;
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SELECT * FROM "two_Partitions" ORDER BY "timeCustom", device_id;
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SELECT * FROM ONLY "two_Partitions";
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CREATE TABLE error_test(time timestamp, temp float8, device text NOT NULL);
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SELECT create_hypertable('error_test', 'time', 'device', 2);
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\set QUIET off
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INSERT INTO error_test VALUES ('Mon Mar 20 09:18:20.1 2017', 21.3, 'dev1');
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\set ON_ERROR_STOP 0
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-- generate insert error
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INSERT INTO error_test VALUES ('Mon Mar 20 09:18:22.3 2017', 21.1, NULL);
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\set ON_ERROR_STOP 1
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INSERT INTO error_test VALUES ('Mon Mar 20 09:18:25.7 2017', 22.4, 'dev2');
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\set QUIET on
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SELECT * FROM error_test;
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--test character(9) partition keys since there were issues with padding causing partitioning errors
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CREATE TABLE tick_character (
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symbol character(9) NOT NULL,
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mid REAL NOT NULL,
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spread REAL NOT NULL,
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time TIMESTAMPTZ NOT NULL
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);
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SELECT create_hypertable ('tick_character', 'time', 'symbol', 2);
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INSERT INTO tick_character ( symbol, mid, spread, time ) VALUES ( 'GBPJPY', 142.639000, 5.80, 'Mon Mar 20 09:18:22.3 2017') RETURNING time, symbol, mid;
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SELECT * FROM tick_character;
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CREATE TABLE many_partitions_test(time timestamp, temp float8, device text NOT NULL);
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SELECT create_hypertable('many_partitions_test', 'time', 'device', 1000);
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--NOTE: how much slower the first two queries are -- they are creating chunks
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INSERT INTO many_partitions_test
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SELECT to_timestamp(ser), ser, ser::text FROM generate_series(1,100) ser;
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INSERT INTO many_partitions_test
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SELECT to_timestamp(ser), ser, ser::text FROM generate_series(101,200) ser;
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INSERT INTO many_partitions_test
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SELECT to_timestamp(ser), ser, (ser-201)::text FROM generate_series(201,300) ser;
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SELECT * FROM many_partitions_test ORDER BY time DESC LIMIT 2;
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SELECT count(*) FROM many_partitions_test;
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CREATE TABLE date_col_test(time date, temp float8, device text NOT NULL);
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SELECT create_hypertable('date_col_test', 'time', 'device', 1000, chunk_time_interval => INTERVAL '1 Day');
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INSERT INTO date_col_test
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VALUES ('2001-02-01', 98, 'dev1'),
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('2001-03-02', 98, 'dev1');
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SELECT * FROM date_col_test WHERE time > '2001-01-01';
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CREATE TABLE many_partitions_test_1m (time timestamp, temp float8, device text NOT NULL);
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SELECT create_hypertable('many_partitions_test_1m', 'time', 'device', 1000);
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EXPLAIN (verbose on, costs off)
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INSERT INTO many_partitions_test_1m(time, temp, device)
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SELECT time_bucket('1 minute', time) AS period, avg(temp), device
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FROM many_partitions_test
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GROUP BY period, device;
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INSERT INTO many_partitions_test_1m(time, temp, device)
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SELECT time_bucket('1 minute', time) AS period, avg(temp), device
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FROM many_partitions_test
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GROUP BY period, device;
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SELECT * FROM many_partitions_test_1m ORDER BY time, device LIMIT 10;
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